Quality Assessment Model for Urban Natural-type Lake Landscape Scheme based on BP Neural Network Model
The quality assessment of an urban natural-type lake landscape is influenced by various factors which have complicated and nonlinear relationships with each other.Some of these factors are even random and obscure,of which the inherent relationships are difficult to describe by means of conventional methods.In this study,a three-layer BP Neural Network (BP NN) model was built with thirty design schemes for lake landscapes as the specimens,of which the qualities were assessed based on the six indices including water quality,water quantity,hydrography,vegetation,economy and facilities.The results showed that the initial data were fitted much accurately with the BP NN method,and the predictive results of the specimens were very close to the actual values,with relative errors below 5％.Moreover a higher predictive precision was achieved,which indicated that the BP NN after effective training would achieve higher predictive precision and excellent generalization capability in its application to the quality assessment for urban natural-type lake landscape schemes.
Keyword landscape quality assessment natural-type lake BP Neural Network
Li-Fang Qiao Yi-chuan Zhang Lian-fang Yao
School of Landscape Architecture,Henan Institute of Science and Technology,Xinxiang 453003,Peoples School of Landscape Architecture,Henan Institute of Science and Technology,Xinxiang 53003,Peoples R
国际会议
哈尔滨
英文
1481-1484
2010-07-24（万方平台首次上网日期，不代表论文的发表时间）